SAP Data Analyst

Indigo Beam•Houston, TX

1d•Remote

About The Position

We are looking for an SAP Data Analyst with mandatory SAP Analytics Cloud — SAC Planning experience to support a finance transformation project. The client is migrating from Vena to SAP SAC and needs a hands-on professional who can work closely with the Finance team to review business use cases, analyze data, support the transition, and deliver practical outputs.

Requirements

Strong experience as a Data Analyst, preferably in finance, planning, or data transformation projects.
Hands-on experience with SAP Analytics Cloud — SAC Planning.
Knowledge of FP&A, budgeting, forecasting, planning, or financial reporting processes.
Ability to work directly with business teams, especially Finance.
Practical experience with data analysis, modeling, validation, and delivery of data-driven solutions.
Advanced proficiency in Excel, including complex data analysis.
Strong communication skills with both functional and technical stakeholders.
Analytical, organized, and delivery-oriented mindset.
Ability to work remotely in an onshore model.

Nice To Haves

Previous experience with Vena or migration projects from Vena to SAP SAC.
Experience in the Oil & Gas industry.
Experience with Excel add-ins, especially those related to planning, reporting, or financial platform integrations.
Familiarity with SAP, BW, S/4HANA, or other enterprise data sources.
Experience in Staff Augmentation environments or projects with variable allocation.

Responsibilities

Partner closely with the Finance team to understand planning processes, business needs, and use cases.
Review and analyze the existing use case list, translating business requirements into data and planning deliverables.
Support the migration of planning processes and models from Vena to SAP SAC Planning.
Build, validate, and adjust data models, planning structures, reports, and input templates in SAP SAC.
Perform financial data analysis, reconciliations, validations, and data quality checks.
Support data organization and integration across multiple sources.
Deliver hands-on work products rather than operating only in an advisory capacity.
Collaborate with business and technical stakeholders to ensure solutions meet Finance requirements.
Document business rules, data flows, assumptions, and project decisions.
Support testing, user validation, troubleshooting, and post-implementation adjustments.